TensorFlow is an open source software library for high performance numerical computation that's great for writing models that can train and run on platforms ranging from your laptop to a fleet of servers in the Cloud to an edge device. This quest takes you beyond the basics of using predefined models and teaches you how to build, train and deploy your own on Google Cloud.
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In this advanced-level quest, you will learn how to harness serious Google Cloud computing power to run big data and machine learning jobs. The hands-on labs will give you use cases, and you will be tasked with implementing big data and machine learning practices utilized by Google’s very own Solutions Architecture team. From running Big Query analytics on tens of thousands of basketball games, to training TensorFlow image classifiers, you will quickly see why Google Cloud is the go-to platform for running big data and machine learning jobs.
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「探索生成式 AI - Agent Platform」課程包含一系列實驗室， 介紹如何在 Google Cloud 使用生成式 AI。完成這些實驗室之後，您會瞭解如何 在 Agent Platform 使用 Gemini 模型、提示詞設計技巧與最佳做法，以及 AI 在構思想法和文字分類、擷取、摘要等方面的用途。您也會瞭解如何運用 Agent Platform 的自訂訓練功能調整基礎模型， 並部署至 Agent Platform 中的端點。
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In this course you will learn how to use several BigQuery ML features to improve retail use cases. Predict the demand for bike rentals in NYC with demand forecasting, and see how to use BigQuery ML for a classification task that predicts the likelihood of a website visitor making a purchase.
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完成「運用 BigQuery ML 建立機器學習模型」技能徽章中階課程，即可證明您具備下列技能： 可使用 BigQuery ML 建立及評估機器學習模型，並根據資料進行預測。
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In this series of labs you will learn how to use BigQuery to analyze NCAA basketball data with SQL. Build a Machine Learning Model to predict the outcomes of NCAA March Madness basketball tournament games.
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Data Catalog is deprecated and will be discontinued on January 30, 2026. You can still complete this course if you want to. For steps to transition your Data Catalog users, workloads, and content to Dataplex Catalog, see Transition from Data Catalog to Dataplex Catalog (https://cloud.google.com/dataplex/docs/transition-to-dataplex-catalog). Data Catalog is a fully managed and scalable metadata management service that empowers organizations to quickly discover, understand, and manage all of their data. In this quest you will start small by learning how to search and tag data assets and metadata with Data Catalog. After learning how to build your own tag templates that map to BigQuery table data, you will learn how to build MySQL, PostgreSQL, and SQLServer to Data Catalog Connectors.
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Want to turn your marketing data into insights and build dashboards? Bring all of your data into one place for large-scale analysis and model building. Get repeatable, scalable, and valuable insights into your data by learning how to query it and using BigQuery. BigQuery is Google's fully managed, NoOps, low cost analytics database. With BigQuery you can query terabytes and terabytes of data without having any infrastructure to manage or needing a database administrator. BigQuery uses SQL and can take advantage of the pay-as-you-go model. BigQuery allows you to focus on analyzing data to find meaningful insights.
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這個入門微學習課程主要說明生成式 AI 的定義和使用方式，以及此 AI 與傳統機器學習方法的差異。本課程也會介紹各項 Google 工具，協助您開發自己的生成式 AI 應用程式。
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這是一堂入門級的微學習課程，旨在探討大型語言模型 (LLM) 的定義和用途，並說明如何調整提示來提高 LLM 成效。此外，也會介紹多項 Google 工具，協助您自行開發生成式 AI 應用程式。
監控及管理 Google Cloud 資源
Earned May 23, 2024 EDT
管理 Google Cloud 中的 Kubernetes
Earned May 23, 2024 EDT
使用 Cloud Vision API 分析圖片
Earned May 23, 2024 EDT
基本概念：基礎架構
Earned May 20, 2024 EDT
使用 Gemini：數據資料學家和分析師
Earned May 18, 2024 EDT
使用 Google API 分析語音和語言
Earned May 17, 2024 EDT
Google Cloud 的 AI 和機器學習服務簡介
Earned May 9, 2024 EDT
在 Google Cloud 實作 DevOps 工作流程
Earned Aug 11, 2023 EDT
在 Compute Engine 導入 Cloud Load Balancing
Earned Aug 7, 2023 EDT
Intermediate ML: TensorFlow on Google Cloud
Earned Jul 31, 2023 EDT
DEPRECATED Google Cloud Solutions II: Data and Machine Learning
Earned Jul 31, 2023 EDT
探索生成式 AI - Agent Platform
Earned Jul 27, 2023 EDT
DEPRECATED Applying BigQuery ML's Classification, Regression, and Demand Forecasting for Retail Applications
Earned Jul 27, 2023 EDT
運用 BigQuery ML 建立機器學習模型
Earned Jul 27, 2023 EDT
NCAA® March Madness®: Bracketology with Google Cloud
Earned Jul 25, 2023 EDT
Data Catalog Fundamentals
Earned Jul 25, 2023 EDT
DEPRECATED BigQuery for Marketing Analysts
Earned Jul 24, 2023 EDT
生成式 AI 簡介
Earned May 15, 2023 EDT
大型語言模型簡介
Earned May 14, 2023 EDT